Additively manufactured spinodoid sound absorbers

材料科学 吸收(声学) 各向同性 超材料 声学 光学 复合材料 光电子学 物理
作者
Brittany Wojciechowski,Yutong Xue,Arash Rabbani,J. Stuart Bolton,Bhisham Sharma
出处
期刊:Additive manufacturing [Elsevier]
卷期号:71: 103608-103608 被引量:4
标识
DOI:10.1016/j.addma.2023.103608
摘要

Spinodoid structures, also called spinodoid metamaterials, are non-periodic cellular structures that mimic spinodal topologies that are observed during diffusion-driven phase separation processes. Computationally efficient to model, spinodoid structures can be fabricated using additive techniques and offer an attractive route to the design of multifunctional structures. In this paper, we investigate the normal incidence sound absorption behavior of four distinct spinodoid topologies: isotropic, cubic, columnar, and lamellar. We fabricate the test samples using the fused filament fabrication process and systematically study the effect of the Gaussian Random Field (GRF) parameters on their underlying open pore network and sound absorption behavior. We employ a watershed segmentation-based image processing approach to correlate their pore and throat radii distributions to the GRF parameters. The normal incidence sound absorption properties are experimentally measured using the two-microphone impedance tube test method. Finally, we use a particle-swarm-based inverse characterization approach to extract the bulk properties necessary to model their acoustical behavior by using the Johnson-Champoux-Allard formulation. Our results show that the open pore network and acoustical properties of spinodoid structures are primarily a function of their relative density and wavenumber. Further, while the absorption behavior of the isotropic, cubic, and columnar spinodoids is similar, the lamellar spinodoids display unique low-frequency sound absorption behavior. Overall, all four spinodoid topologies provide favorable sound absorption characteristics, which may be tuned by varying the GRF parameters. The presented work advances the state-of-the art by establishing the feasibility of using additive manufacturing to enable non-periodic porous structures for that can be tuned to simultaneously provide mechanical stiffness and noise dampening capabilities.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
JamesPei应助幸福的kc采纳,获得10
刚刚
1111111发布了新的文献求助10
刚刚
刚刚
Yan发布了新的文献求助10
1秒前
2秒前
英姑应助司马惜儿采纳,获得10
2秒前
Ava应助n0rthstar采纳,获得10
2秒前
henryoy发布了新的文献求助10
2秒前
3秒前
勤劳破茧发布了新的文献求助10
3秒前
曾曾发布了新的文献求助10
3秒前
要减肥的天寿完成签到,获得积分10
3秒前
成就芒果tv完成签到,获得积分10
4秒前
-sci-完成签到,获得积分10
4秒前
小星星发布了新的文献求助10
4秒前
一条咸鱼完成签到,获得积分10
4秒前
77777发布了新的文献求助10
4秒前
C·麦塔芬完成签到,获得积分10
6秒前
SONG发布了新的文献求助10
6秒前
6秒前
王宇杰完成签到,获得积分10
6秒前
我是老大应助zy采纳,获得10
7秒前
7秒前
8秒前
Singularity应助欣喜大门采纳,获得10
8秒前
9秒前
楼轶完成签到,获得积分10
9秒前
找文献啦完成签到,获得积分10
9秒前
小螺号完成签到 ,获得积分10
10秒前
10秒前
11秒前
zhangzhisenn发布了新的文献求助10
11秒前
失眠的蓝发布了新的文献求助10
12秒前
ECG发布了新的文献求助30
12秒前
达瓦里氏完成签到,获得积分10
12秒前
吕汶泽完成签到,获得积分10
15秒前
15秒前
16秒前
Carol完成签到,获得积分10
16秒前
玖玖完成签到,获得积分10
16秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3135702
求助须知:如何正确求助?哪些是违规求助? 2786585
关于积分的说明 7778267
捐赠科研通 2442686
什么是DOI,文献DOI怎么找? 1298616
科研通“疑难数据库(出版商)”最低求助积分说明 625205
版权声明 600866